Triple
T7434503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fauldhouse railway station |
E171575
|
entity |
| Predicate | lineUse |
P76380
|
FINISHED |
| Object | commuter services |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: commuter services | Statement: [Fauldhouse railway station, lineUse, commuter services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineUse Context triple: [Fauldhouse railway station, lineUse, commuter services]
-
A.
lineUses
Indicates that a particular line (such as a route, service, or connection) makes use of or is implemented using a specified resource, infrastructure, or element.
-
B.
lineStandard
Indicates that one entity is a standard or reference specification that defines or governs the characteristics or requirements of a particular line (such as a product line, production line, or service line).
-
C.
usesLineCharacteristic
Indicates that one entity employs or is based on a specific characteristic or property of a line.
-
D.
lineType
Indicates the specific category or style of a line used in a representation, such as its function or visual convention.
-
E.
usesLineCode
Indicates that one entity employs or references a specific line code as part of its operation, identification, or communication.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f327480481909c4691fd3333e2ae |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f0be2b1c8190bea06100a7caef2b |
completed | March 27, 2026, 9:03 p.m. |
Created at: March 27, 2026, 3:13 p.m.